I'm in the middle of moving to the Computer Vision Group at NASA - JPL. I will be working on RGB-D related perception problems for 3D mapping, mobile manipulation, outdoor SLAM etc. Quite a lot of exciting projects means expect more updates soon!
What are the spatial representations, computer vision algorithms, and object search strategies needed to visually localize objects in large environments?
In this regard, I have come up with four main contributions that each spawned a project on its own:
Learning 3D context of everyday objects from Kinect imagesWhat can we learn from 38,000 rooms?
Active visual search in Unexplored Large Environments
Kinect@Home: Crowdsourcing in the wild Kinect images
News
- My paper on learning 3D context was an IROS 2012 Best paper finalist!
- Check out the Wired and BBC articles on Kinect@Home here and here . Full list (that I could gather so far) here
- I've finally launched Kinect@Home!
- July 2012: TR-O paper submitted on object search in large scale unexplored environments!
- July 2012: Two first-name papers are accepted to IROS 2012! See you in Portugal
- June 2012: RAS paper on object search using spatial relations got accepted!
- April 2012: I am co-organising the Active Semantic Perception at IROS 2012, which is a continuation of the IROS 2011 workshop
- Feb. 2012: I am co-organising the semantic perception workshop at ICRA 2012!
- Feb. 2011: I am organising a workshop at IROS 2011, check it out!
a Kinect@Home 3D model!
Research Interests
- Active Visual Search
- Semantic Mapping
- Machine Learning
